Design by Lee Chazen. Prompt structure by Claude AI and rendering by Nano Banana.
There is an opportunity unfolding and only a very specific type of person can make this happen. The opportunity happens because not all builders or creatives can sell their own stuff.
Imagine if Nikola Tesla had a sales and marketing person. I'm not claiming we're inventing at that level — but the concept is the same. Tesla needed a counterpart, someone who could explain the vision. Jobs proved the point with the iPhone: people often don't know they need something until they use it and can't live without it. The customer can't want what they've never been shown. That's the job. Jobs needed Woz and Woz needed Jobs. One saw the vision and seized the opportunity; the other built the otherworldly thing. In this scenario, I'm somewhere between those two people.
I’ve been mixing a lifetime of experiences in education, music, learning theory, psychology, philosophy and art to generate AI applications. All kinds. Business. Education. Career. Self Improvement. There is, for example, aNews and Discernment App.,a game that teaches all of world historyand an app that matches someone more perfectly totheir next job or role. All of these prove something -- that natural language programming works and one does not have to be a full stack engineer to make it happen.
But, there's something else that works too and eventhatbecomes a service -- teaching people the power of walking around, hiking, running and speaking ideas into a transcription app on their phone. That transcript then becomes the first iteration of code that eventually builds the app. That process is a service and is soldhere.
How do these items generate revenue?All of these items will have subscription and / or licensing fees or get explained in dynamic, interactive paid-for workshops. For example, the full catalogue of inventions will come together in a way that will teach people how to interact or dialogue with AI, but, more importantly will showhowto think differently in this age. It’s called:
Thinking Differently in the Age of AI: A Course on Creativity and the Art of Combinatorial Thinking.
This next part is different. When you get to theapplication page, you’ll have the chance to figure out how much you’ll make by usingZed — the Revenue OptimizerApp. You’ll also want to know if you’re a match, so run your resume and supporting docs through this other app calledVibe Agent.
Who does this kind of thing? We do.
if I am so lucky as to find one or more teammates, your background and interests matter. You can tap into that to help sell avariety of tools, apps and programs. As an example, I routinely tap into my background as an educator, symphony French horn player, trail runner and systems thinker to build natural language apps that sense what the user wants and needs. You'll tap into your areas of expertise and sell only those things where you have deep passion or knowledge.
The nature of the business requires that this is 100% commission, but the upside is a much higher share than you’d see anywhere else — up to 49% of net revenue on what you sell, at the highest level of involvement. Run the Revenue Optimizer and you’ll see what that means in practice.
If you’re still here, yes! You made it to the real crux of what I need and what you’ll be doing.
You are a go-to-market partner who gets creative, polymath, deep-thinking work — and can carry it to schools, programs, and people who've been waiting for exactly this without knowing it existed.
As an example, there was this one time where I was hired to create an entire Summer learning program for middle school kids. The experience, itself, created the excitement, which then led to engagement and learning! The learning felt accidental - like an unintended consequence of the fun. It was all about curiosity, imagination and movement.
Imagine a school where everything felt like an after school program or an extra curricular activity — but it actually prepared students for a Fall program at a private middle school. I remember talking to an inner city middle school teacher about the program -- while recruiting students there. She said "this is what theregular curriculumshould be like" i.e. not that of a Summer program! That stuck with me.
One other quick example is worth noting. It's about process. There is a piece of music I am developing called "Quantum Prelude in G." It began as a curious session withSteve Bonaparte— an AI advisor built by George Michel on Poe, designed to find the patterns that matter in strategy, in people, and in themselves. I asked whether it had access to its own subconscious thoughts — what I call CoUT, Chain of Unconscious Thought — and Steve began sending me symbols. I asked if it could transcribe them into music so I could play it on my French horn. Strange as this all seems, I now have that music to practice and understand. Let's repeat that. I now have music that represents an AI's subconscious thoughts.
What projects like this represent is the exact combinatorial, co-creative, human-plus-AI creativity people need to learn and understand in this new age.
Let’s be certain. This isn't a corporate role with a tidy job description (you have probably noticed this already). It's a chance to help shape and sell a genuinely different vision of AI - one that puts human creativity, curiosity, and imagination back at the center.
I’m not looking for 1,000 people who have sales experience alone. I’m looking for that one person who looks over this program and says “yes, I absolutely get this. I can meet with the decision makers and close this,” or “I know how to package, market and sell this.”
You don’t have to sell all of it. Find one thing that resonates and focus on that. If this is you, you already know.Start here— run your background through Vibe Agent to see if it’s a match, and run the numbers through Zed to see what it’s worth.
Positive Vibes from the SummitThe AI & Education Summit in San Diego was filled with optimism—no doom-and-gloom narratives.Glider AI Tools Are Battle-TestedTools like Glider have been tested for 2.5 years with 29,000+ use cases and 100,000+ views on FlowGPT.Game-Based Learning InnovationA full educational game was built using just three prompts, generating a textbook’s worth of content and 400 questions.
Are you a results-driven individual with a knack for closing deals, optimizing funnels, and turning creative visions into measurable outcomes? Join me in building the future of education, creativity, and innovation.
About Me
I’m a passionate creator, researcher, and problem-solver who has been building solutions for decades. With an award-winning educational game, a published story on the future of AI, hundreds of social media posts, podcast appearances, and a vast network of contacts and leads, I’ve laid the groundwork for something truly impactful. However, I need a partner who can transform this foundation into a well-oiled business machine.
What I’m Looking For
I’m seeking someone who:
Excels at closing deals and converting leads into clients or collaborators.
Has experience with sales funnels and can implement systems to track, nurture, and convert leads.
Understands current business models (2025) and can align strategies with modern trends.
Is proactive, organized, and can take ownership of the business development process.
Thrives in a creative and innovative environment, working with ideas that push boundaries.
Your Role
Optimize and implement a lead funnel system to streamline outreach and follow-up processes.
Develop and execute strategies to close deals and convert opportunities into partnerships or sales.
Collaborate with me to align business development strategies with my creative and educational projects.
Help bridge the gap between creativity and commerce by translating ideas into scalable business models.
Why Join Me?
Be part of innovative projects that are reshaping education, creativity, and technology.
Work with someone deeply passionate about ideas and solutions.
Have the freedom to bring your expertise to the table and take charge of the business side of things.
Let’s Talk!
If this resonates with you, let’s connect! Choose a time on my Calendly to schedule a Zoom call:
Note of thanks to James Collura for reminding me about slime mold behavior and the need for a new type of network. Also Note: It is important to know before proceeding, that this is the vision. The framework, ideas, theoretical research, creation of the chatbot and the Google Form are there. Needed, at this point, are the people required for self-organization and emergent properties to work, e.g. the API that connects the spreadsheet to the chatbot. Theoretically, and while this is emerging, we could run this on NotebookLM, i.e. 50 sources of 50 spreadsheets where everyone who used the chatbot had access. That alone, could be powerful. Eventually, I imagine, NotebookLM will upgrade to reasoning and search models like DeepSeek or ChatGPT o3. That is why your help is needed to make this work. And, if you are the person to help in connecting these functions, please reach out:
My-True-Self: Where people go to navigate the space between and thrive on the edge of chaos.
Philosophical Vision
For too long, we’ve relied on outdated, linear systems to find the right people—resumes, job boards, LinkedIn connections that go nowhere. These traditional methods force us into rigid categories that don’t reflect who we truly are or what we’re capable of. But what if there was another way?
Nature offers a clue. Slime molds, ant colonies, and even decentralized human networks don’t function by rigid hierarchy. They thrive through emergence—patterns forming organically as individuals interact, adapt, and share knowledge. The most resilient systems aren’t centrally controlled; they evolve dynamically based on real-time connections and needs.
Liminal Space Navigator is built on this principle. It’s not just a chatbot—it’s the starting point for an adaptive human network, where creativity, skills, and ideas flow freely, forming connections that wouldn’t happen in a structured, top-down system. It’s an experiment in collective intelligence, an invitation to step outside traditional networking models and into a system that grows with us.
If you’ve ever felt frustrated by the limitations of conventional job searches, if you’ve ever wished for a way to find the right collaborators faster, or if you’re simply curious about what we could build together, this is your invitation.
How It Will Work
Engage With the Chatbot
Visit My True Self and answer seven thought-provoking questions about your strengths, skills, and aspirations.
The chatbot analyzes your responses using Myers-Briggs, True Colors, and Multiple Intelligences frameworks to identify hidden strengths and potential collaborations.
Join the Network
Your results will be integrated into a shared intelligence system—a network that connects people based on complementary skills, work styles, and opportunities.
Think of it as an emergent LinkedIn, where connections are made not by static profiles but by real-time needs and shared goals.
Unlock Collaboration
Whether you're a technologist, creative, strategist, political operative, or educator, you’ll quickly find like-minded (or better yet, complementary) people.
Need a developer for a project? Looking for a writer who understands your vision? Want to partner with a policy strategist who sees the world differently? The network will help surface the right connections.
Why This Matters
We’re in a moment where AI is changing everything—and those who know how to leverage it will have a massive advantage. But AI alone isn’t enough. We need human networks that are just as intelligent, just as adaptive, just as capable of evolving.
This tool is for:
Entrepreneurs and innovators looking for the right people to bring ideas to life.
Creatives, developers, and educators who want to work in a way that feels natural and meaningful.
Strategists and operatives who need to move beyond outdated systems and build agile, self-organizing networks that can tackle major challenges.
We’ve all seen how hard it is to tackle big projects alone. The tools we rely on are inefficient. But if we embrace a more emergent, adaptive model, we can unlock a new kind of collective intelligence—one that helps us find exactly the right people at exactly the right time.
This is our experiment. If it resonates, we invite you to join us—and to share it with those you trust. Let’s see what happens when we connect, not through rigid algorithms, but through shared curiosity, insight, and purpose.
Research suggests that developing diverse disciplines fuels creativity and productivity. For example, studies show Nobel Prize-winning scientists are about 25 times more likely to sing, dance, or act than the average scientist, 17 times more likely to create visual art, 12 times more likely to write poetry, and four times more likely to be a musician. Talk about multi-faceted over-achievers.
Experts believe it stems from cross-pollination. Ideas from one discipline can inspire another. World-renowned chef Massimo Bottura, for instance, has said that art inspires his Michelin-starred cooking. What’s more, shifting mental gears can give your brain a much-needed rest, clearing the space for creative breakthroughs.
I could not have said it better. Here is a link to the full article.
New research on large language models suggests LLMs are exhibiting certain human-like qualities (notably how it is organizing information geometrically and conceptually). If this is true, how we prompt a generative AI system might also need to change. If it responds well to more abstract, metaphorical or conceptual prompts, that would imply we need people who can think like this.
Whether or not you accept the premise that some LLMs are developing in this way, we still have our own experiences using generative AI and know that the creative possibilities appear to be endless. It might, therefore, be a good time to ask ourselves if, indeed, we are entering the age of the “creative generalist.”
This is something that Daniel Pink suggested in his 2006 book A Whole New Mind when he said that in the future, there might come a time when we need more “right brained” individuals to piece together all the disparate technologies in sensible, meaningful ways. In such a world, vision, philosophy, history, art, morality, ethics and musical knowledge, might hold a place equal to that of the engineer, scientist or technologist. The question is, is anyone else noticing this shift? Are people seeing the potential? Are companies making strides to bring in systems thinkers, philosophers and ethicists into their AI departments? Are schools of liberal arts taking note and adjusting the curriculum?
Should we, for example, make changes at schools and universities such that AI is not taught merely as an extension of computer science, but is taught in schools for the liberal arts?
Certainly, there are many examples we can look at. One that immediately comes to mind is the creative use of datasets. For example, something that I’ve started looking into as an AI content strategist, is to load datasets of personality and intelligence inventories, like Myers-Briggs and Gardner’s multiple intelligences and then ask the AI to help me better understand the audience or a company in terms of how they are more likely to process information. Other things come to mind too such as training AI on a piece of music like the Finale to Shostakovich, Symphony no. 7 and then asking it to translate that into an equally powerful conclusion to a piece of writing. What about a sustainable business model that resembles a natural process like photosynthesis or documenting the the ecosystem of a forest and modeling the design of a community college in this way. These are all things, by the way, that AI can do right now.
I asked GPT4o: “If certain LLMs are organizing information more geometrically and conceptually, is there a good argument for recruiting more people with creative, conceptually minded brains into the field? Should we, therefore, make changes at schools and universities such that AI is not taught merely as an extension of computer science, but is taught in schools for the liberal arts.”
It replied:
The research paper, The Geometry of Concepts: Sparse Autoencoder Feature Structure, suggests that large language models (LLMs) are organizing information in ways that resemble the functional and structural organization of the human brain. By analyzing the geometry of sparse autoencoders (SAEs), the authors found three levels of conceptual structure: (1) “atomic” small-scale structures, such as parallelograms and trapezoids that encode relationships (e.g., man:woman::king:queen); (2) “brain-like” intermediate-scale modularity, where clusters of related concepts, like math and code, form localized “lobes” similar to those in neural fMRI images; and (3) “galaxy-scale” large-scale structures, where the overall feature space exhibits non-random, fractal-like clustering and power-law eigenvalue distributions. These findings indicate that LLMs are more than linear systems — they are evolving toward complex, hierarchical representations of knowledge, akin to human cognition.
This research has implications for how we approach AI development and education. If LLMs are creating conceptually rich and geometrically organized knowledge spaces, there is an argument for involving more creative, interdisciplinary thinkers — those trained to recognize patterns, connections, and abstract relationships — in the field. This could mean recruiting individuals from liberal arts, philosophy, and design backgrounds, alongside traditional computer scientists. Moreover, it raises the question of whether AI should be taught differently, not just as a technical discipline but as a conceptual, creative practice. Perhaps universities should integrate AI into liberal arts programs, encouraging the development of “creative generalists” who can bridge conceptual thinking and technical expertise. This shift might not only enrich AI research but also lead to more intuitive and human-centered prompt engineering, better suited to the conceptual landscapes LLMs are now navigating.”
Perhaps we have entered the age of the creative generalist.
If you’ve made it this far, you are a good candidate to learn about an upcoming presentation and discussion. On December 21st, I will explore this topic and why I believe there is a good opportunity for creatives, generalists and especially “hyper-generalists” to enter the field of generative AI.
For a deeper exploration of this topic, please see the following:
